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    Evaluation of thirteen durum wheat (triticum durum desf.) genotypes suitable for multiple environments using gge biplot analysis
    (Parlar Scientific Publications, 2019) Kizilgeci F.; Albayrak O.; Yildirim M.
    The present study was undertaken to identify the best durum wheat genotypes suitable for the South-Eastern Anatolia Region of Turkey with desirable grain yield and quality. In the context, thirteen spring durum wheat genotypes were evaluated in four environmental condition of the target region in consecutive two growing seasons in the year 2013-14 and 2014-15. The stability and superiority of genotypes, and favorable testing environments were described by using ANOVA and GGE biplot analysis (genotype, genotype x environment). Genotype, environment and GEI (genotype x envi-ronment interaction) was found to be highly significant for multiple traits. The total variation of PCI (principles component) and PC2 was calculated 90% for ETI (environment trait interaction), 57.35 for GTI (genotype trait interaction), and 87.5% for GE interaction. The results of total variation of ETI was found higher than GTI and GEI. On the other hand, the biplot analysis showed that four mega-environments occurred among ETI and three environments (El, E2 and E3) correlated with different traits, while environments E4 did not correlated with any traits. The environment El was found the best for Grain yield, test weight, thousand kernel weight and starch content, E2 for L?, b?, SPAD, and E3 for zeleny sedimentation, protein content and wet gluten content. In the biplot analysis, the environments divided three sector based on traits. Among the genotypes, the genotype G8 was performed the best in all tested environments, while G9 was found the best based on all traits. The re-sults of the study showed that GGE biplot analysis can be used as a good tool to identity of the most suitable environment in terms of all the characteristics as well as to identity the best genotypes for future breeding program. © 2019 Parlar Scientific Publications. All rights reserved.
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    Stability evaluation of bread wheat genotypes under varying environments by ammi model
    (Parlar Scientific Publications, 2019) Kizilgeci F.; Albayrak O.; Yildirim M.; Akinci C.
    Stable and high yield varieties identification under various conditions prior to release as a variety is the main steps for breeding program. In order to exploit narrow and broad adaptability of genotypes and assess their effects, environment and GE interaction, 12 spring bread wheat genotypes were grown at four various experimental locations during 2013-14 and 2014-15 growing seasons. The stability and superiority of genotypes were identified by the AMMI (additive main effect and multiplicative interaction) and GGE (genotype, genotype x environment) biplot analysis. The AMMI analysis showed that the variance of genotype, environment and GE interaction were significant and the major treatment sum of squares were significantly affected by environments (85.47%), genotypes (8.51%) and GE interaction (6.07%). On the other hand, the first principal component axes (PCA 1) distributed to the complete interaction as 62.56%, and the second PCA 2 axes 37.44%. The GGE bi-plot analysis indicated that the total variation PC (principle component) was 83.09%, and PCI was accounted as 63.69%, PC2 only 19.40%. The AMMI analysis showed that CI I was quite stable as well as the highest yielder among test genotypes, while C7 and C8 were unstable and low yielding across environments. The GGE biplot indicated that it was detected in two mega-environments, and the first mega-environment covered three environment (El, E2 and E3), and the second mega-environment covered only E4. The genotypes C!1 and C12 remained superior under ME I, while genotypes CI, C3 and C5 were for ME II. Among the genotypes, the genotype CI may be recommended to be developed and released as an approved cultivar for being comparatively more stable and the highest yielder. Therefore the AMMI and GGE biplot models have an opportunity to determine the best genotypes under multiple environments considering on adaptability and stability concentrating on overall per-formance for screening superior genotypes. © 2019 Parlar Scientific Publications. All rights reserved.